16.7.4 Human Motion Understanding and Analysis

Chapter Contents (Back)
Event Understanding. This is concerned primarily with surveillance issues, less with gesture recognition. So it is the whole human, not just the face, arms, and hands. See also Human Motion, General Analysis. See also Gesture Recognition Techniques.

Rohr, K.,
Towards Model-Based Recognition of Human Movements in Image Sequences,
CVGIP(59), No. 1, January 1994, pp. 94-115.
DOI Link BibRef 9401
Earlier:
Incremental Recognition of Pedestrians from Image Sequences,
CVPR93(8-13).
IEEE DOI Extraction of the movement of articulated bodies. BibRef

Rohr, K.,
Recognition of Human Movements Based on Explicit Motion Models,
MBR97(Chapter 8) Germany. BibRef 9700

Chiu, C.Y.[Chih-Yi], Chao, S.P.[Shih-Pin], Wu, M.Y.[Ming-Yang], Yang, S.N.[Shi-Nine], Lin, H.C.[Hsin-Chih],
Content-based retrieval for human motion data,
JVCIR(15), No. 3, September 2004, pp. 446-466.
Elsevier DOI 0711
BibRef

Rahman, M.M.[M. Masudur], Ishikawa, S.[Seiji],
Human motion recognition using an eigenspace,
PRL(26), No. 6, 1 May 2005, pp. 687-697.
Elsevier DOI 0501
BibRef
Earlier:
Robust appearance-based human action recognition,
ICPR04(III: 165-168).
IEEE DOI 0409
BibRef
And:
Appearance-based representation and recognition of human motions,
CRA03(I: 1410-1415). BibRef

Eftakhar, S.M.A., Tan, J.K.[Joo Kooi], Kim, H.[Hyoungseop], Ishikawa, S.,
Recognizing human motions from surrounding viewpoints employing hierarchical eigenspaces,
ICARCV10(2179-2184).
IEEE DOI 1109
BibRef

Rahman, M.M.[M. Masudur], Nakamura, K., Ishikawa, S.[Seiji],
Recognizing human behavior using universal eigenspace,
ICPR02(I: 295-298).
IEEE DOI 0211
BibRef

Rahman, M.M.[M. Masudur], Robles-Kelly, A.[Antonio],
A Tuned Eigenspace Technique for Articulated Motion Recognition,
ECCV06(I: 174-185).
Springer DOI 0608
BibRef

Müller, M.[Meinard],
Information Retrieval for Music and Motion,
Springer2007, ISBN: 978-3-540-74047-6
WWW Link. Multimedia objects using audio and human motion data. BibRef 0700

Rosenhahn, B.[Bodo], Klette, R.[Reinhard], Metaxas, D.N.[Dimitris N.], (Eds.)
Human Motion Understanding, Modelling, Capture, and Animation,
Springer2008, ISBN: 978-1-4020-6692-4. Indexed as: BibRef 0800 HumMotBook08
WWW Link. Collection of papers on human motion. Papers filed elsewhere. BibRef

Jang, W.S.[Won-Seob], Lee, W.K.[Won-Kyu], Lee, I.K.[In-Kwon], Lee, J.H.[Je-Hee],
Enriching a motion database by analogous combination of partial human motions,
VC(24), No. 4, April 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Yang, J.Y.[Jhun-Ying], Wang, J.S.[Jeen-Shing], Chen, Y.P.[Yen-Ping],
Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers,
PRL(29), No. 16, 1 December 2008, pp. 2213-2220.
Elsevier DOI 0811
Acceleration data; Activity recognition; Feature subset selection; Feature extraction; Neural network; Triaxial accelerometer BibRef

Albanese, M.[Massimiliano], Chellappa, R.[Rama], Cuntoor, N.[Naresh], Moscato, V.[Vincenzo], Picariello, A.[Antonio], Subrahmanian, V.S., Udrea, O.[Octavian],
PADS: A Probabilistic Activity Detection Framework for Video Data,
PAMI(32), No. 12, December 2010, pp. 2246-2261.
IEEE DOI 1011
PADL a logic language to describe activities. Probability that subvideo contains that activity. Then detect activities. BibRef

Albanese, M., Chellappa, R., Moscato, V., Picariello, A., Subrahmanian, V.S., Turaga, P.K., Udrea, O.,
A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video,
MultMed(10), No. 6, October 2008, pp. 982-996.
IEEE DOI 0905
BibRef

Bodor, R., Drenner, A., Fehr, D., Masoud, O.T., Papanikolopoulos, N.P.,
View-independent human motion classification using image-based reconstruction,
IVC(27), No. 8, 2 July 2009, pp. 1194-1206.
Elsevier DOI 0906
Image-based rendering; Human motion recognition; Computer vision; Visual tracking; Shape reconstruction BibRef

Cao, D.W.[Dong-Wei], Masoud, O.T.[Osama T.], Boley, D.[Daniel], Papanikolopoulos, N.P.[Nikolaos P.],
Human motion recognition using support vector machines,
CVIU(113), No. 10, October 2009, pp. 1064-1075,.
Elsevier DOI 0910
Human motion recognition; Recursive filtering; Support vector machine BibRef

Gonzalez, J.[Jordi], Rowe, D.[Daniel], Varona, J.[Javier], Roca, F.X.[F. Xavier],
Understanding dynamic scenes based on human sequence evaluation,
IVC(27), No. 10, 2 September 2009, pp. 1433-1444.
Elsevier DOI 0906
Image Sequence Evaluation; High-level processing of monitored scenes; Segmentation and tracking in complex scenes; Event recognition in dynamic scenes; Human motion understanding; Human behaviour interpretation; Natural-language text generation; Realistic demonstrators BibRef

Underwood, S.[Sarah],
Making Sense of Real-Time Behavior,
CACM(53), No. 8, August 2010, pp. 17-18.
DOI Link 1101
Data captured by sensors worn on the human body and analyzed in near real-time could transform our understanding of human behavior, health, and society. BibRef

Lucena, M.J.[Manuel J.], de la Blanca, N.P.[Nicolás Pérez], Fuertes, J.M.[José Manuel],
Human action recognition based on aggregated local motion estimates,
MVA(23), No. 1, January 2012, pp. 135-150.
WWW Link. 1201
BibRef
Earlier: A1, A3, A2:
Human Motion Characterization Using Spatio-temporal Features,
IbPRIA07(I: 72-79).
Springer DOI 0706
BibRef

Marín-Jiménez, M.J.[Manuel J.], de la Blanca, N.P.[Nicolás Pérez],
Human Interaction Recognition by Motion Decoupling,
IbPRIA13(374-381).
Springer DOI 1307
BibRef

Marín-Jiménez, M.J.[Manuel Jesús], de la Blanca, N.P.[Nicolás Pérez], Mendoza, M.Á.[María Ángeles],
Learning Features for Human Action Recognition Using Multilayer Architectures,
IbPRIA11(338-346).
Springer DOI 1106
BibRef
Earlier:
RBM-based Silhouette Encoding for Human Action Modelling,
ICPR10(979-982).
IEEE DOI 1008
BibRef
Earlier: A3, A2, A1:
Fitting Product of HMM to Human Motions,
CAIP09(824-831).
Springer DOI 0909
BibRef

Mendoza, M.Á.[M. Ángeles], de la Blanca, N.P.[Nicolás Pérez],
Applying Space State Models in Human Action Recognition: A Comparative Study,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Mendoza, M.Á.[M. Ángeles], de la Blanca, N.P.[Nicolás Pérez],
HMM-Based Action Recognition Using Contour Histograms,
IbPRIA07(I: 394-401).
Springer DOI 0706
BibRef

Lucena, M.J.[Manuel J.], de la Blanca, N.P.[Nicolás Pérez], Fuertes, J.M.[José Manuel], Marín-Jiménez, M.J.[Manuel Jesús],
Human Action Recognition Using Optical Flow Accumulated Local Histograms,
IbPRIA09(32-39).
Springer DOI 0906
See also Matching Deformable Regions Using Local Histograms of Differential Invariants. BibRef

Marti-Puig, P.[Pere], Rodríguez, S.[Sara], de Paz, J.F.[Juan F.], Reig-Bolańo, R.[Ramon], Rubio, M.P.[Manuel P.], Bajo, J.[Javier],
Stereo Video Surveillance Multi-agent System: New Solutions for Human Motion Analysis,
JMIV(42), No. 2-3, February 2012, pp. 176-195.
WWW Link. 1202
BibRef

Correa, D.[Daniel], Balbinot, A.[Alexandre],
Experimental Videogrammetry and Accelerometry for the 2D Analysis of Human Motion,
Sensors(150), No. 2, March 2013, pp. 79-89.
HTML Version. 1304
BibRef

Khan, A.[Aftab], Hammerla, N.[Nils], Mellor, S.[Sebastian], Plötz, T.[Thomas],
Optimising sampling rates for accelerometer-based human activity recognition,
PRL(73), No. 1, 2016, pp. 33-40.
Elsevier DOI 1604
Activity recognition BibRef


Noceti, N.[Nicoletta], Sciutti, A.[Alessandra], Sandini, G.[Giulio],
Cognition Helps Vision: Recognizing Biological Motion Using Invariant Dynamic Cues,
CIAP15(II:676-686).
Springer DOI 1511
biological vs. non-biological dynamic events. BibRef

Pugin, E.V., Zhiznyakov, A.L.,
Classification of Features of Image Sequences,
PTVSBB15(79-81).
DOI Link 1508
Features of an image, features of sequence, semantic features. BibRef

Lehrmann, A.M.[Andreas M.], Gehler, P.V.[Peter V.], Nowozin, S.[Sebastian],
Efficient Nonlinear Markov Models for Human Motion,
CVPR14(1314-1321)
IEEE DOI 1409
Markov model BibRef

Prudęncio, J.[Joăo], Aguiar, A.[Ana], Lucani, D.[Daniel],
Physical Activity Recognition from Smartphone Embedded Sensors,
IbPRIA13(863-872).
Springer DOI 1307
Using smart phone sensors (orientation) in activity recognition. BibRef

Habashi, P.[Pejman], Boufama, B.[Boubakeur], Ahmad, I.S.[Imran Shafiq],
A Better Trajectory Shape Descriptor for Human Activity Recognition,
ICIAR17(330-337).
Springer DOI 1706
BibRef
Earlier:
The Bag of Micro-Movements for Human Activity Recognition,
ICIAR15(269-276).
Springer DOI 1507
BibRef

Diaf, A.[Abdunnaser], Boufama, B.[Boubakeur], Benlamri, R.[Rachid],
A Compound Eigenspace for Recognizing Directed Human Activities,
ICIAR12(II: 122-129).
Springer DOI 1206
BibRef

Diaf, A.[Abdunnaser], Ksantini, R.[Riadh], Boufama, B.[Boubakeur], Benlamri, R.[Rachid],
A Novel Human Motion Recognition Method Based on Eigenspace,
ICIAR10(I: 167-175).
Springer DOI 1006
BibRef

Canton-Ferrer, C., Butko, T., Segura, C., Giro, X., Nadeu, C., Hernando, J., Casas, J.R.,
Audiovisual event detection towards scene understanding,
CVPR4HB09(81-88).
IEEE DOI 0906
BibRef

Gehrig, D., Schultz, T.,
Selecting relevant features for human motion recognition,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Lablack, A.[Adel], Djeraba, C.[Chabane],
Analysis of human behaviour in front of a target scene,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Blackburn, J.[Jaron], Ribeiro, E.[Eraldo],
Human Motion Recognition Using Isomap and Dynamic Time Warping,
HUMO07(285-298).
Springer DOI 0710
BibRef

Cantoni, V.[Virginio], Marmo, R.[Roberto], Zemblini, M.[Marco],
Video Surveillance and SOS Request,
CIAP07(560-565).
IEEE DOI 0709
Human surveillance in outdoor environment. BibRef

Ogale, A.S.[Abhijit S.], Karapurkar, A.[Alap], Aloimonos, Y.[Yiannis],
View-Invariant Modeling and Recognition of Human Actions Using Grammars,
WDV06(115-126).
Springer DOI 0705
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Motion Understanding and Analysis, Surveys, Reviews, Evaulations .


Last update:Sep 25, 2017 at 16:36:46